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NEW QUESTION 54
A company wants to use an automatic machine learning (ML) Random Cut Forest (RCF) algorithm to visualize complex real-word scenarios, such as detecting seasonality and trends, excluding outers, and imputing missing values.
The team working on this project is non-technical and is looking for an out-of-the-box solution that will require the LEAST amount of management overhead.
Which solution will meet these requirements?

  • A. Use an AWS Glue ML transform to create a forecast and then use Amazon QuickSight to visualize the data.
  • B. Use a pre-build ML AMI from the AWS Marketplace to create forecasts and then use Amazon QuickSight to visualize the data.
  • C. Use calculated fields to create a new forecast and then use Amazon QuickSight to visualize the data.
  • D. Use Amazon QuickSight to visualize the data and then use ML-powered forecasting to forecast the key business metrics.

Answer: A

 

NEW QUESTION 55
A global company has different sub-organizations, and each sub-organization sells its products and services in various countries. The company's senior leadership wants to quickly identify which sub-organization is the strongest performer in each country. All sales data is stored in Amazon S3 in Parquet format.
Which approach can provide the visuals that senior leadership requested with the least amount of effort?

  • A. Use Amazon QuickSight with Amazon Athena as the data source. Use heat maps as the visual type.
  • B. Use Amazon QuickSight with Amazon Athena as the data source. Use pivot tables as the visual type.
  • C. Use Amazon QuickSight with Amazon S3 as the data source. Use heat maps as the visual type.
  • D. Use Amazon QuickSight with Amazon S3 as the data source. Use pivot tables as the visual type.

Answer: B

 

NEW QUESTION 56
An insurance company has raw data in JSON format that is sent without a predefined schedule through an Amazon Kinesis Data Firehose delivery stream to an Amazon S3 bucket. An AWS Glue crawler is scheduled to run every 8 hours to update the schema in the data catalog of the tables stored in the S3 bucket. Data analysts analyze the data using Apache Spark SQL on Amazon EMR set up with AWS Glue Data Catalog as the metastore. Data analysts say that, occasionally, the data they receive is stale. A data engineer needs to provide access to the most up-to-date data.
Which solution meets these requirements?

  • A. Create an external schema based on the AWS Glue Data Catalog on the existing Amazon Redshift cluster to query new data in Amazon S3 with Amazon Redshift Spectrum.
  • B. Run the AWS Glue crawler from an AWS Lambda function triggered by an S3:ObjectCreated:* event notification on the S3 bucket.
  • C. Using the AWS CLI, modify the execution schedule of the AWS Glue crawler from 8 hours to 1 minute.
  • D. Use Amazon CloudWatch Events with the rate (1 hour) expression to execute the AWS Glue crawler every hour.

Answer: A

 

NEW QUESTION 57
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